The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-10"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "37180308 (up from 36876248 yesterday: 0.82 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1072306 (up from 1068040 yesterday: 0.4 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 6397234

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.88



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 7717932 54639 0.71 949813 214370 618 0.29 2.78
India 7053806 74383 1.07 1653187 108334 918 0.85 1.54
Brazil 5055888 0 0.00 527648 149639 0 0.00 2.96
Russia 1278245 12673 1.00 185330 22331 194 0.88 1.75
Colombia 902747 8447 0.94 144349 27660 165 0.60 3.06
Argentina 883882 12414 1.42 260948 23581 356 1.53 2.67
Spain 861112 0 0.00 221072 32929 0 0.00 3.82
Peru 846088 7474 0.89 89676 33223 125 0.38 3.93
Mexico 814328 4308 0.53 120207 83642 145 0.17 10.27
France 732434 0 0.00 264820 32601 0 0.00 4.45
South Africa 690896 2544 0.37 31240 17673 126 0.72 2.56
United Kingdom 593565 15175 2.62 200720 42850 81 0.19 7.22
Iran 496253 3875 0.79 77210 28293 195 0.69 5.70
Chile 479595 1826 0.38 34921 13272 52 0.39 2.77
Iraq 400124 2344 0.59 84527 9790 55 0.56 2.45
Bangladesh 377073 1203 0.32 29701 5500 23 0.42 1.46
Italy 349494 5724 1.67 52925 36140 29 0.08 10.34
Saudi Arabia 338944 405 0.12 9673 5018 22 0.44 1.48
Philippines 336926 2156 0.64 53466 6238 86 1.40 1.85
Turkey 334031 1649 0.50 32683 8778 56 0.64 2.63
Indonesia 328952 4294 1.32 88265 11765 88 0.75 3.58
Germany 323463 2968 0.93 50531 9620 21 0.22 2.97
Pakistan 318932 666 0.21 13261 6570 12 0.18 2.06
Israel 289875 2017 0.70 106273 1941 55 2.92 0.67
Ukraine 263105 5901 2.29 86057 5010 111 2.27 1.90
Canada 182767 2142 1.19 38160 9661 23 0.24 5.29
Netherlands 173894 6546 3.91 77633 6624 23 0.35 3.81
Belgium 156931 7950 5.34 56183 10175 24 0.24 6.48
Romania 152403 3517 2.36 40853 5358 59 1.11 3.52
Morocco 149841 3443 2.35 50025 2572 42 1.66 1.72
Ecuador 146828 980 0.67 21208 12188 13 0.11 8.30
Bolivia 138463 237 0.17 7993 8292 30 0.36 5.99
Qatar 127778 178 0.14 4632 219 0 0.00 0.17
Poland 121638 5300 4.56 43308 2972 53 1.82 2.44
Panama 119666 825 0.69 14065 2482 8 0.32 2.07
Dominican Republic 118014 557 0.47 10314 2167 2 0.09 1.84
Czechia 114005 4631 4.23 65699 948 43 4.75 0.83
Kuwait 110568 492 0.45 11519 655 6 0.92 0.59
Kazakhstan 108757 94 0.09 1495 1746 0 0.00 1.61
Nepal 105684 5008 4.97 42887 614 14 2.33 0.58
United Arab Emirates 105133 1129 1.09 20891 443 1 0.23 0.42
Egypt 104387 125 0.12 2487 6040 11 0.18 5.79
Oman 104129 0 0.00 12376 1009 0 0.00 0.97
Sweden 98451 0 0.00 10214 5894 0 0.00 5.99
Guatemala 97544 609 0.63 12392 3365 9 0.27 3.45
China 90778 27 0.03 444 4739 0 0.00 5.22
Japan 88962 695 0.79 10300 1626 3 0.18 1.83
Costa Rica 87439 1386 1.61 23727 1076 21 1.99 1.23
Portugal 85574 1646 1.96 17549 2067 5 0.24 2.42
Ethiopia 83429 767 0.93 15298 1277 6 0.47 1.53
Honduras 83146 594 0.72 12003 2504 12 0.48 3.01
Belarus 82471 0 0.00 7010 885 0 0.00 1.07
Venezuela 82453 757 0.93 16504 691 7 1.02 0.84
Bahrain 75287 427 0.57 10788 273 2 0.74 0.36
Moldova 61762 929 1.53 15426 1458 16 1.11 2.36
Uzbekistan 60776 434 0.72 9784 502 4 0.80 0.83
Switzerland 60368 0 0.00 11085 2088 0 0.00 3.46
Nigeria 60103 111 0.19 2958 1115 2 0.18 1.86
Singapore 57866 7 0.01 308 27 0 0.00 0.05
Armenia 55736 649 1.18 8582 1016 6 0.59 1.82
Austria 54423 1235 2.32 16949 852 10 1.19 1.57
Algeria 52940 136 0.26 3317 1795 6 0.34 3.39
Lebanon 52558 1388 2.71 24261 455 5 1.11 0.87
Paraguay 48978 703 1.46 15963 1065 20 1.91 2.17
Kyrgyzstan 48924 307 0.63 3589 1082 5 0.46 2.21
Ghana 47005 18 0.04 1128 306 0 0.00 0.65
West Bank and Gaza 43945 281 0.64 8942 378 11 3.00 0.86
Azerbaijan 41752 233 0.56 2710 608 3 0.50 1.46
Ireland 41714 1011 2.48 9176 1824 3 0.16 4.37
Libya 41686 318 0.77 14452 623 2 0.32 1.49
Kenya 41158 538 1.32 4329 760 5 0.66 1.85
Afghanistan 39703 10 0.03 784 1473 1 0.07 3.71
Hungary 36596 1374 3.90 19676 933 20 2.19 2.55
Serbia 34685 168 0.49 1845 762 1 0.13 2.20
Denmark 32575 444 1.38 9694 667 2 0.30 2.05
Tunisia 31259 4360 16.21 22149 456 47 11.49 1.46
Bosnia and Herzegovina 30345 428 1.43 5128 927 1 0.11 3.05
El Salvador 29951 0 0.00 2523 887 6 0.68 2.96
Australia 27263 19 0.07 365 898 1 0.11 3.29
Burma 26064 2158 9.03 20801 598 32 5.65 2.29
Korea, South 24606 58 0.24 1631 432 2 0.47 1.76
Bulgaria 24319 448 1.88 5500 891 4 0.45 3.66
Jordan 23998 1235 5.43 19458 181 15 9.04 0.75
Greece 22078 306 1.41 7100 436 5 1.16 1.97
Cameroon 21203 0 0.00 772 423 0 0.00 2.00
North Macedonia 20555 392 1.94 3998 785 4 0.51 3.82
Cote d’Ivoire 20128 92 0.46 859 120 0 0.00 0.60
Croatia 19932 486 2.50 5207 317 4 1.28 1.59
Slovakia 18797 1887 11.16 12251 61 4 7.02 0.32
Madagascar 16702 26 0.16 682 237 0 0.00 1.42
Kosovo 16130 159 1.00 1128 645 7 1.10 4.00
Norway 15466 78 0.51 2608 275 0 0.00 1.78
Zambia 15415 76 0.50 1345 337 1 0.30 2.19
Senegal 15244 31 0.20 556 314 1 0.32 2.06
Albania 15231 165 1.10 3005 416 3 0.73 2.73
Malaysia 15096 374 2.54 4929 155 3 1.97 1.03
Sudan 13670 0 0.00 135 836 0 0.00 6.12
Montenegro 13641 293 2.20 5743 198 4 2.06 1.45
Namibia 11891 62 0.52 1599 128 1 0.79 1.08
Finland 11849 269 2.32 2927 346 0 0.00 2.92
Georgia 11271 519 4.83 7965 78 6 8.33 0.69
Guinea 10996 42 0.38 710 69 1 1.47 0.63
Maldives 10859 51 0.47 1210 34 0 0.00 0.31
Congo (Kinshasa) 10841 6 0.06 353 276 0 0.00 2.55
Tajikistan 10180 43 0.42 877 79 0 0.00 0.78

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 852410 3334 0.39 69097 16567 81 0.49 1.94 21573.32 419.29 1 in 46
Texas 815915 3724 0.46 107975 16943 72 0.43 2.08 28139.00 584.32 1 in 36
Florida 728921 0 0.00 47688 15186 0 0.00 2.08 33938.45 707.06 1 in 29
New York 473143 1447 0.31 24105 33293 3 0.01 7.04 24321.67 1711.41 1 in 41
Georgia 330269 1237 0.38 25248 7393 45 0.61 2.24 31106.32 696.31 1 in 32
Illinois 319451 2905 0.92 44410 9221 30 0.33 2.89 25209.56 727.68 1 in 40
North Carolina 229752 2321 1.02 37505 3765 18 0.48 1.64 21906.00 358.98 1 in 46
Arizona 224978 894 0.40 11427 5759 13 0.23 2.56 29544.47 756.28 1 in 34
New Jersey 212877 864 0.41 13568 16171 7 0.04 7.60 23966.72 1820.61 1 in 42
Tennessee 212649 1646 0.78 31210 2758 26 0.95 1.30 31120.09 403.62 1 in 32
Pennsylvania 175797 1468 0.84 21561 8324 32 0.39 4.74 13732.01 650.21 1 in 73
Louisiana 170878 0 0.00 10595 5635 0 0.00 3.30 36757.49 1212.14 1 in 27
Ohio 167458 1356 0.82 23911 4997 3 0.06 2.98 14326.00 427.49 1 in 70
Alabama 164526 1061 0.65 20362 2664 11 0.41 1.62 33554.92 543.32 1 in 30
Virginia 157609 1237 0.79 18063 3351 10 0.30 2.13 18465.08 392.59 1 in 54
South Carolina 156621 945 0.61 19381 3551 21 0.59 2.27 30419.44 689.69 1 in 33
Michigan 149453 1637 1.11 21366 7219 19 0.26 4.83 14964.97 722.85 1 in 67
Wisconsin 147560 2742 1.89 47998 1458 18 1.25 0.99 25343.35 250.41 1 in 39
Missouri 145682 4679 3.32 32818 2424 27 1.13 1.66 23736.65 394.95 1 in 42
Massachusetts 138340 639 0.46 11159 9587 10 0.10 6.93 19906.46 1379.52 1 in 50
Indiana 133411 1918 1.46 22652 3782 21 0.56 2.83 19816.79 561.78 1 in 50
Maryland 130795 636 0.49 11051 3995 5 0.13 3.05 21634.46 660.80 1 in 46
Minnesota 110828 1516 1.39 22107 2184 10 0.46 1.97 19651.64 387.26 1 in 51
Mississippi 104638 957 0.92 11551 3096 16 0.52 2.96 35158.86 1040.27 1 in 28
Iowa 99042 1161 1.19 19238 1459 5 0.34 1.47 31391.38 462.43 1 in 32
Oklahoma 98621 1533 1.58 22817 1095 4 0.37 1.11 24923.36 276.73 1 in 40
Washington 93035 475 0.51 10836 2190 0 0.00 2.35 12217.51 287.59 1 in 82
Arkansas 92220 908 0.99 17060 1552 22 1.44 1.68 30558.43 514.28 1 in 33
Nevada 85399 806 0.95 9980 1659 2 0.12 1.94 27725.54 538.61 1 in 36
Utah 84644 1354 1.63 21792 510 5 0.99 0.60 26402.09 159.08 1 in 38
Kentucky 79445 989 1.26 18339 1249 7 0.56 1.57 17782.19 279.56 1 in 56
Colorado 77618 1023 1.34 13282 2112 9 0.43 2.72 13478.30 366.75 1 in 74
Kansas 65039 325 0.50 12553 773 2 0.26 1.19 22324.75 265.33 1 in 45
Connecticut 60038 0 0.00 4511 4530 0 0.00 7.55 16839.60 1270.58 1 in 59
Puerto Rico 53364 472 0.89 12371 728 8 1.11 1.36 16709.18 227.95 1 in 60
Nebraska 51887 1828 3.65 11090 519 5 0.97 1.00 26823.19 268.30 1 in 37
Idaho 47701 613 1.30 10454 507 1 0.20 1.06 26617.90 282.91 1 in 38
Oregon 36924 398 1.09 6325 599 2 0.34 1.62 8754.46 142.02 1 in 114
New Mexico 32722 481 1.49 5210 907 5 0.55 2.77 15605.47 432.56 1 in 64
South Dakota 27947 732 2.69 9503 286 9 3.25 1.02 31590.70 323.29 1 in 32
North Dakota 26627 588 2.26 9020 336 15 4.67 1.26 34940.73 440.91 1 in 29
Rhode Island 26294 0 0.00 2674 1130 0 0.00 4.30 24820.62 1066.68 1 in 40
Delaware 21998 171 0.78 2549 653 2 0.31 2.97 22590.69 670.59 1 in 44
Montana 18117 718 4.13 7954 209 3 1.46 1.15 16951.13 195.55 1 in 59
West Virginia 17927 220 1.24 4038 387 5 1.31 2.16 10031.07 216.55 1 in 100
District of Columbia 15918 75 0.47 1016 636 2 0.32 4.00 22554.76 901.17 1 in 44
Hawaii 13371 71 0.53 2045 168 2 1.20 1.26 9443.65 118.65 1 in 106
Alaska 9431 249 2.71 2702 60 0 0.00 0.64 12891.89 82.02 1 in 78
New Hampshire 9092 122 1.36 1172 455 5 1.11 5.00 6686.72 334.63 1 in 150
Wyoming 7455 120 1.64 2674 54 0 0.00 0.72 12881.01 93.30 1 in 78
Maine 5695 30 0.53 661 143 0 0.00 2.51 4236.68 106.38 1 in 236
Vermont 1857 11 0.60 147 58 0 0.00 3.12 2976.01 92.95 1 in 336

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 15878445 852410 5.37 2534559 69097 2.73 401861.6
2 Texas 6830631 815915 11.94 1267455 107975 8.52 235572.5
3 Florida 5518162 728921 13.21 449608 47688 10.61 256924.7
4 New York 11921319 473143 3.97 2099228 24105 1.15 612809.1
5 Georgia 3132559 330269 10.54 397170 25248 6.36 295039.5
6 Illinois 6246673 319451 5.11 1187333 44410 3.74 492957.8
7 North Carolina 3350815 229752 6.86 579795 37505 6.47 319487.8
8 Arizona 1556015 224978 14.46 182856 11427 6.25 204338.4
9 New Jersey 3914021 212877 5.44 621644 13568 2.18 440659.5
10 Tennessee 3141232 212649 6.77 514145 31210 6.07 459703.2
11 Pennsylvania 2190490 175797 8.03 294365 21561 7.32 171105.4
12 Louisiana 2450087 170878 6.97 303101 10595 3.50 527037.1
13 Ohio 3583857 167458 4.67 795162 23911 3.01 306598.2
14 Alabama 1204320 164526 13.66 155898 20362 13.06 245619.9
15 Virginia 2238204 157609 7.04 371538 18063 4.86 262222.4
16 South Carolina 1470311 156621 10.65 347046 19381 5.58 285568.6
17 Michigan 4010309 149453 3.73 691840 21366 3.09 401558.7
18 Wisconsin 1685908 147560 8.75 254904 47998 18.83 289553.8
19 Missouri 2075699 145682 7.02 873075 32818 3.76 338203.4
20 Massachusetts 4670758 138340 2.96 1333466 11159 0.84 672099.6
21 Indiana 1474639 133411 9.05 182024 22652 12.44 219042.0
22 Maryland 1719802 130795 7.61 200998 11051 5.50 284467.9
23 Minnesota 2288662 110828 4.84 472888 22107 4.67 405817.6
24 Mississippi 809293 104638 12.93 106407 11551 10.86 271926.2
25 Iowa 814078 99042 12.17 100303 19238 19.18 258022.2
26 Oklahoma 1339139 98621 7.36 267638 22817 8.53 338425.3
27 Washington 2037946 93035 4.57 333276 10836 3.25 267626.3
28 Arkansas 1137716 92220 8.11 271281 17060 6.29 376998.7
29 Nevada 734943 85399 11.62 74257 9980 13.44 238605.8
30 Utah 912894 84644 9.27 160944 21792 13.54 284749.2
31 Kentucky 1536175 79445 5.17 488180 18339 3.76 343842.3
32 Colorado 1518454 77618 5.11 336625 13282 3.95 263678.3
33 Kansas 560189 65039 11.61 85440 12553 14.69 192285.8
34 Connecticut 1796539 60038 3.34 374391 4511 1.20 503897.4
36 Nebraska 504432 51887 10.29 84437 11090 13.13 260768.1
37 Idaho 330962 47701 14.41 45825 10454 22.81 184681.9
38 Oregon 736598 36924 5.01 102688 6325 6.16 174642.9
39 New Mexico 980053 32722 3.34 129090 5210 4.04 467397.7
40 South Dakota 216485 27947 12.91 41264 9503 23.03 244710.1
41 North Dakota 678197 26627 3.93 121335 9020 7.43 889949.9
42 Rhode Island 864638 26294 3.04 189530 2674 1.41 816188.2
43 Delaware 307645 21998 7.15 37934 2549 6.72 315933.8
44 Montana 388649 18117 4.66 87809 7954 9.06 363638.7
45 West Virginia 628006 17927 2.85 118520 4038 3.41 351401.4
46 District of Columbia 429099 15918 3.71 78222 1016 1.30 608005.1
47 Hawaii 447810 13371 2.99 168070 2045 1.22 316278.6
48 Alaska 499253 9431 1.89 76403 2702 3.54 682463.8
49 New Hampshire 493109 9092 1.84 99943 1172 1.17 362657.2
50 Wyoming 110631 7455 6.74 18291 2674 14.62 191152.1
51 Maine 491082 5695 1.16 119895 661 0.55 365330.8
52 Vermont 171179 1857 1.08 16379 147 0.90 274330.2

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1493884 0 0 1212016 81.13 241986 39430 0 0 2.64
Andhra Pradesh 739719 0 0 684930 92.59 48661 6128 0 0 0.83
Karnataka 679356 0 0 552519 81.33 117143 9675 0 0 1.42
Tamil Nadu 640943 0 0 586454 91.50 44437 10052 0 0 1.57
Uttar Pradesh 427459 0 0 378662 88.58 42552 6245 0 0 1.46
Delhi 300833 0 0 272948 90.73 22232 5653 0 0 1.88
West Bengal 284030 0 0 249737 87.93 28854 5439 0 0 1.91
Kerala 258851 0 0 167256 64.61 90579 931 0 0 0.36
Odisha 244142 0 0 216984 88.88 26131 1027 0 0 0.42
Telangana 206644 0 0 179075 86.66 26368 1201 0 0 0.58
Bihar 192671 0 0 180357 93.61 11384 929 0 0 0.48
Assam 191397 0 0 159833 83.51 30767 794 0 0 0.41
Rajasthan 152605 0 0 129618 84.94 21382 1605 0 0 1.05
Gujarat 147950 0 0 128023 86.53 16386 3541 0 0 2.39
Madhya Pradesh 142022 0 0 122687 86.39 16788 2547 0 0 1.79
Haryana 138682 0 0 126267 91.05 10867 1548 0 0 1.12
Chhattisgarh 134612 0 0 106027 78.76 27427 1158 0 0 0.86
Punjab 121716 0 0 107200 88.07 10775 3741 0 0 3.07
Jharkhand 90486 0 0 80439 88.90 9272 775 0 0 0.86
Jammu and Kashmir 81793 0 0 69020 84.38 11482 1291 0 0 1.58
Uttarakhand 53359 0 0 44535 83.46 7849 702 0 0 1.32
Goa 37102 0 0 31902 85.98 4716 484 0 0 1.30
Puducherry 30539 0 0 25256 82.70 4727 556 0 0 1.82
Tripura 27756 0 0 23043 83.02 4389 301 0 0 1.08
Himachal Pradesh 16778 0 0 13583 80.96 2943 233 0 0 1.39
Chandigarh 12922 0 0 11344 87.79 1392 186 0 0 1.44
Manipur 12679 0 0 9719 76.65 2877 83 0 0 0.65
Arunachal Pradesh 11479 0 0 8679 75.61 2778 22 0 0 0.19
Meghalaya 7261 0 0 4832 66.55 2369 60 0 0 0.83
Nagaland 6736 0 0 5516 81.89 1149 12 0 0 0.18
Ladakh 4902 0 0 3550 72.42 1289 63 0 0 1.29
Andaman and Nicobar Islands 3952 0 0 3707 93.80 190 55 0 0 1.39
Sikkim 3246 0 0 2569 79.14 544 52 0 0 1.60
Dadra and Nagar Haveli and Daman and Diu 3129 0 0 2994 95.69 105 2 0 0 0.06
Mizoram 2150 0 0 1926 89.58 224 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2303398 111992 1140 1.03 4.86 408 44 12022 16982 15.16
Piemonte 786555 38094 499 1.33 4.84 354 22 4741 4174 10.96
Emilia-Romagna 1282331 37297 383 1.04 2.91 241 16 5976 4494 12.05
Veneto 2052467 31065 561 1.84 1.51 231 20 5832 2216 7.13
Lazio 1002753 19519 384 2.01 1.95 884 57 9505 972 4.98
Campania 673472 17897 664 3.85 2.66 635 63 10191 477 2.67
Toscana 828114 17643 548 3.21 2.13 160 30 5640 1173 6.65
Liguria 344162 14883 213 1.45 4.32 222 26 2446 1617 10.86
Puglia 450063 9300 184 2.02 2.07 300 22 3711 607 6.53
Sicilia 544425 8997 285 3.27 1.65 387 35 4143 335 3.72
Marche 266010 8485 86 1.02 3.19 41 3 1203 992 11.69
P.A. Trento 248440 6444 50 0.78 2.59 19 0 687 408 6.33
Friuli Venezia Giulia 447946 5416 126 2.38 1.21 23 6 1244 355 6.55
Abruzzo 221142 4980 94 1.92 2.25 110 7 1341 487 9.78
Sardegna 210707 4866 124 2.61 2.31 140 25 2671 161 3.31
P.A. Bolzano 191245 3980 92 2.37 2.08 35 2 873 292 7.34
Umbria 225964 3189 132 4.32 1.41 56 8 1110 88 2.76
Calabria 220936 2256 68 3.11 1.02 41 1 696 103 4.57
Valle d’Aosta 31033 1446 44 3.14 4.66 6 3 180 146 10.10
Basilicata 81193 1034 37 3.71 1.27 36 0 475 35 3.38
Molise 47699 711 10 1.43 1.49 7 0 142 26 3.66

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 85191 1097 1.30 5950 14 0.24 6.98 9978.24 696.91 1 in 100
Ontario 61078 889 1.48 3055 7 0.23 5.00 4151.63 207.66 1 in 241
Alberta 19995 0 0.00 283 0 0.00 1.42 4530.78 64.13 1 in 221
British Columbia 10185 0 0.00 245 0 0.00 2.41 1992.79 47.94 1 in 502
Manitoba 2524 96 3.95 32 2 6.67 1.27 1832.28 23.23 1 in 546
Saskatchewan 2068 34 1.67 24 0 0.00 1.16 1750.07 20.31 1 in 571
Nova Scotia 1092 3 0.28 65 0 0.00 5.95 1117.18 66.50 1 in 895
Newfoundland and Labrador 282 3 1.08 4 0 0.00 1.42 540.89 7.67 1 in 1849
New Brunswick 258 20 8.40 2 0 0.00 0.78 330.77 2.56 1 in 3023
Prince Edward Island 61 0 0.00 0 0 NaN 0.00 385.69 0.00 1 in 2593
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5175 105 2.03
Guangdong 1858 8 0.43
Zhejiang 1283 1 0.08
Henan 1281 22 1.72
Shanghai 1048 7 0.67
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 936 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 832 7 0.84
Sichuan 721 3 0.42
Jiangsu 667 0 0.00
Chongqing 585 6 1.03
Shaanxi 428 3 0.70
Fujian 415 1 0.24
Hebei 365 6 1.64
Liaoning 276 2 0.72
Inner Mongolia 268 1 0.37
Guangxi 260 2 0.77
Tianjin 244 3 1.23
Yunnan 211 2 0.95
Shanxi 206 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 23587.81 655.17 1 in 42
India 5267.97 80.91 1 in 190
Brazil 24156.18 714.95 1 in 41
Russia 8845.99 154.54 1 in 113
Colombia 18397.13 563.68 1 in 54
Argentina 19965.71 532.66 1 in 50
Spain 18455.04 705.72 1 in 54
Peru 26300.53 1032.73 1 in 38
Mexico 6302.85 647.38 1 in 159
France 10933.48 486.65 1 in 91
South Africa 12180.82 311.58 1 in 82
United Kingdom 8933.85 644.94 1 in 112
Iran 6114.50 348.61 1 in 164
Chile 26570.36 735.29 1 in 38
Iraq 10455.29 255.81 1 in 96
Bangladesh NA NA 1 in NA
Italy 5778.67 597.55 1 in 173
Saudi Arabia 10289.74 152.34 1 in 97
Philippines 3211.88 59.47 1 in 311
Turkey 4133.54 108.63 1 in 242

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 281165 6768 2.41
Miami-Dade Florida 174112 3409 1.96
Cook Illinois 153514 5298 3.45
Harris Texas 150626 2675 1.78
Maricopa Arizona 145847 3466 2.38
Dallas Texas 86129 1167 1.35
Broward Florida 78795 1455 1.85
Queens New York 74029 7275 9.83
Kings New York 71435 7350 10.29
Clark Nevada 71325 1438 2.02
Riverside California 61824 1256 2.03
Bexar Texas 59594 1360 2.28
San Bernardino California 57834 986 1.70
Orange California 55531 1340 2.41
Tarrant Texas 54570 763 1.40
Bronx New York 53762 4966 9.24
San Diego California 50143 825 1.65
Nassau New York 47841 2204 4.61
Palm Beach Florida 47648 1425 2.99
Suffolk New York 47357 2016 4.26
Hillsborough Florida 43808 691 1.58
Orange Florida 41822 502 1.20
Westchester New York 38847 1460 3.76
Philadelphia Pennsylvania 38767 1830 4.72
Wayne Michigan 36870 3006 8.15
Salt Lake Utah 36554 276 0.76
New York New York 34296 3182 9.28
Hidalgo Texas 33352 1841 5.52
Kern California 32831 392 1.19
Shelby Tennessee 32530 533 1.64
Milwaukee Wisconsin 31943 549 1.72
Duval Florida 31669 474 1.50
Prince George’s Maryland 30621 833 2.72
Mecklenburg North Carolina 30273 365 1.21
Travis Texas 30199 441 1.46
Hennepin Minnesota 29929 951 3.18
Fresno California 29208 406 1.39
Franklin Ohio 29005 635 2.19
Fulton Georgia 28942 590 2.04
Middlesex Massachusetts 28917 2186 7.56
Gwinnett Georgia 28712 423 1.47
Davidson Tennessee 28120 321 1.14
El Paso Texas 27953 555 1.99
Pima Arizona 26363 631 2.39
St. Louis Missouri 26134 839 3.21
Suffolk Massachusetts 25497 1145 4.49
King Washington 23805 784 3.29
Sacramento California 23649 450 1.90
Montgomery Maryland 23505 855 3.64
Cameron Texas 23312 1037 4.45
Bergen New Jersey 23107 2051 8.88
Marion Indiana 23038 771 3.35
Pinellas Florida 22910 780 3.40
Utah Utah 22756 67 0.29
Santa Clara California 22419 357 1.59
Alameda California 22072 441 2.00
Oakland Michigan 21878 1220 5.58
Fairfax Virginia 21861 599 2.74
Essex New Jersey 21689 2128 9.81
Jefferson Alabama 21335 362 1.70
Lee Florida 21175 481 2.27
Hudson New Jersey 21141 1519 7.19
Essex Massachusetts 21078 1307 6.20
Polk Florida 20929 552 2.64
San Joaquin California 20828 473 2.27
Nueces Texas 20783 425 2.04
Fairfield Connecticut 20752 1426 6.87
Cobb Georgia 20439 439 2.15
Middlesex New Jersey 20304 1433 7.06
Oklahoma Oklahoma 20207 201 0.99
Providence Rhode Island 19636 0 0.00
DeKalb Georgia 19613 378 1.93
Passaic New Jersey 19561 1255 6.42
DuPage Illinois 19156 580 3.03
Tulsa Oklahoma 19064 176 0.92
Wake North Carolina 18980 258 1.36
Baltimore Maryland 18887 642 3.40
Cuyahoga Ohio 18358 667 3.63
Douglas Nebraska 18190 202 1.11
Union New Jersey 18163 1361 7.49
Lake Illinois 18141 498 2.75
Jefferson Louisiana 17960 575 3.20
Jefferson Kentucky 17724 320 1.81
Contra Costa California 17546 228 1.30
Polk Iowa 17076 276 1.62
Stanislaus California 17002 384 2.26
Fort Bend Texas 16880 295 1.75
Tulare California 16794 269 1.60
Rockland New York 16690 679 4.07
Baltimore City Maryland 16390 491 3.00
Richmond New York 16373 1088 6.65
Charleston South Carolina 16232 269 1.66
Collin Texas 16151 164 1.02
Richland South Carolina 16095 254 1.58
District of Columbia District of Columbia 15918 636 4.00
Macomb Michigan 15911 1041 6.54
Out of GA Georgia 15526 170 1.09
Hartford Connecticut 15520 1442 9.29
Greenville South Carolina 15505 326 2.10
East Baton Rouge Louisiana 15446 446 2.89

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc